Build and productionize machine learning, LLM, and AI solutions with Data Science teams. Design industrialized data-processing pipelines, implement MLOps and LLMOps frameworks, manage model lifecycles, and develop production Python, ML, and cloud solutions using Azure, GCP, Databricks, Spark, and PySpark. Gather requirements, estimate work, document solutions, present results, and support technical best practices.
Role: ML/AI Engineer
Location: India, Remote
Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.
Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.
What You'll Be Doing:
- Working with Data Science teams to implement Machine Learning models into production
- Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency
- Design, delivery and management of industrialized processing pipelines
- Defining and implementing best practices in ML models life cycle and ML operations/LLM operations
- Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices
- Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations
- Gathering technical requirements & estimating planned work
- Presenting solutions, concepts and results to internal and external clients
- Creating technical documentation
The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team.
The key duties are:
What We're Looking For:
- At least 5+ years of Data engineering experience with last 3 years experience in building Data processing
- Practical experience in ML based production recommendation systems
- At least 5+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.)
- At least 3+ years of experience in production-ready ML-related code development
- Practical experience in MLOps/LLMOps tools like AzureML/AzureAI or GCP VertexAI
- Practical experience with Databricks
- Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures
- Good understanding of Cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Azure or GCP
- Experience in at least one of following domains: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning, MLOps
- Practical experience in Spark/PySpark and Hive within Big Data Platforms like Databricks, EMR or similar
- Experience in designing and implementing data pipelines
- Good communication skills
- Ability to work in a team and support others
- Taking responsibility for tasks and deliverables
- Great problem-solving skills and critical thinking
- Fluency in written and spoken English.
We Offer:
- Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
- 100% remote.
- Flexibility regarding working hours.
- Full-time position
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning platform from day 1.
- Certificate training programs. Lingarians earn 500+ technology certificates yearly.
- Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
- Grow as we grow as a company. 76% of our managers are internal promotions.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work. We trust your ideas.
- Create our community together. Refer your friends to receive bonuses.
- Activities to support your well-being and health.
- Plenty of opportunities to donate to charities and support the environment.
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop scalable platforms and services for Mastercard’s Priceless Platform. Responsibilities include writing and reviewing code, collaborating with product and design teams, implementing automated testing and CI/CD, building cloud-native systems, communicating with stakeholders, and improving quality, reliability, security, and technical debt. The role requires expertise in software engineering, distributed systems, APIs, microservices, cloud platforms, and agile product development.
Top Skills:
AgileAPIsAWSAzureC#Ci/CdDevOpsDistributed SystemsEvent-Driven ArchitectureGoGCPJavaMicroservicesPHPPythonReactive SystemsTypescript
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead mechanical design reviews and coordination for large-scale semiconductor/pharma cleanroom facilities. Perform HVAC, exhaust, utility and piping analyses, CFD review, pipe stress and vibration checks, equipment specification and procurement support, clash detection, BIM coordination, and technical oversight during construction to ensure compliant, energy-efficient mechanical systems and on-time project delivery.
Top Skills:
AutocadBimBim 360ClaudeComputational Fluid Dynamics (Cfd)CopilotGen-Ai (ChatgptLlms)NavisworksP&Ids
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Design, review, and optimize high-reliability power distribution and substation systems for semiconductor fabs. Produce SLDs, sizing calculations, system studies, grounding/earthing, protection coordination, and commissioning support. Integrate SCADA/BMS, ensure compliance with standards, manage vendors/contractors, and support procurement, FAT/SAT, and energization.
Top Skills:
AisArc Flash AssessmentAutocadAutocad ElectricalBimBmsChatgptClaudeCo-PilotEtapFmcsGeneratorsGisHarmonic FiltersLlmsProtection RelaysRevitRmuScadaSkm Power ToolsSwitchgearTransformersUpsVfd
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
