ML/AI Engineer

Lingaro; India; Hybrid; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Stable employment since 2008

Flexibility regarding working hours

Unlimited access to the Udemy learning platform

Capability development programs

Internal coaching support

Job summary

Lingaro in India is seeking an experienced professional to join their Data Science and AI Competency Center. The role involves implementing machine learning models, designing innovative solutions, and managing data processing pipelines. Candidates should have a strong background in data engineering, proficiency in Python, and experience with MLOps tools. The company offers flexible working options, a comprehensive onboarding program, and numerous opportunities for skill development.

Qualifications

• 5+ years of Data engineering experience and 3 years in building Data processing.
• 5+ years in production-ready Python code development.
• 3+ years in production-ready ML-related code development.
• Practical experience in MLOps/LLMOps tools.

Responsibilities

• Implement Machine Learning models into production.
• Design and deliver GenAI solutions.
• Manage industrialized processing pipelines.

Skills

Data engineering experience

Production-ready Python code development

ML-related code development

GenAI experience

MLOps tools

Databricks experience

ML/AI concepts understanding

Cloud services knowledge

Data pipeline design

Problem-solving skills

Tools

AzureML/AzureAI

Spark/PySpark

Databricks

Docker/Kubernetes

Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Job Description

The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team.

Responsibilities

• Working with Data Science teams to implement Machine Learning models into production
• Design, delivery GenAI solutions
• 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

What We're Looking For

• At least 5+ years of Data engineering experience with last 3 years experience in building Data processing
• 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
• At least 1+ years of experience with GenAI (ChatGPT, Gemini, RAGs, prompt engineering)
• Practical experience in MLOps/LLMOps tools like AzureML/AzureAI
• 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
• 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.

What Will Set You Apart

• Experience in designing, programming ML algorithms, and data processing pipelines using Python
• Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps)
• Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes.

We Offer

• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office, depending on your location.
• Flexibility regarding working hours and your preferred form of contract.
• 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.
• Internal Gallup Certified Strengths Coach to support your growth.
• 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.
• Modern office equipment. Purchased for you or available to borrow, depending on your location.