Associate Engineer - AI/ML with Python

Eligibility Criteria

• Bachelor's degree in Computer Science, AI/ML, Data Science, or a related field with 2-4 years of strong experience.
• Strong foundation in programming, data structures, and software engineering basics.
• Passion for AI, autonomous systems, and emerging technologies.
• Ability to learn quickly and work effectively in a fast-paced, collaborative environment.

Key Responsibilities

• Design and develop Agentic AI workflows using LLMs, tools, planners, and memory components.
• Build and integrate LLM-powered applications using frameworks such as LangChain and LlamaIndex.
• Develop RESTful APIs and backend services using Django, Flask, FastAPI, Robyn Framework, or Vert.x.
• Implement Retrieval Augmented Generation (RAG) pipelines using vector databases and embeddings.
• Work on Machine Learning model development, including feature engineering and data preprocessing.
• Develop and maintain web applications and microservices with secure authentication (OAuth, JWT).
• Use Celery tasks for asynchronous processing and background AI workloads.
• Work with databases and search systems such as MySQL, Redis, ElasticSearch, and ScyllaDB.
• Containerize applications using Docker and support deployments on Kubernetes.
• Assist in model training, CI/CD pipelines, and cloud deployments on AWS.

Required Technical Skills

• Programming knowledge in Python (mandatory); exposure to GoLang, Java, SQL, JavaScript is a plus.
• Understanding of HTML, CSS, and modern web application architecture.
• Familiarity with Machine Learning fundamentals and common ML algorithms.
• Hands-on exposure to ML libraries: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
• Basic understanding of NLP, Transformers, and Large Language Models (OpenAI, LLaMA).
• Knowledge of RESTful APIs, JSON, and SQLAlchemy.
• Experience (academic or project-based) with Git, GitHub or Bitbucket.
• Awareness of CI/CD pipelines, build processes, and software deployment concepts.

Required Soft Skills

• Strong analytical thinking and problem-solving mindset.
• Passion for AI, autonomous systems, and emerging technologies.
• Ability to learn quickly and work effectively in a fast-paced, collaborative environment.

Preferred Skills

• Practical experience with Agentic AI concepts (tools, reasoning, planning, memory).
• Hands-on projects using Hugging Face, LangChain, or LlamaIndex.
• Exposure to RAG architectures and vector databases.
• Experience with Docker, Kubernetes, Jenkins, Kibana.
• Familiarity with AWS services for application or ML deployment.
• Internship or academic project experience in AI/ML or Full-Stack Development.
• Open-source contributions or personal GitHub projects.

Selection Process / Rounds / Tests

Round 1: Application Screening — Details: Resume and qualification review | Topics: Academic background, AI/ML skills, Programming knowledge | Mode: Online | Purpose: Initial screening based on eligibility criteria

Round 2: Technical Assessment — Details: Evaluate AI/ML and programming knowledge | Topics: Python, Machine Learning, Deep Learning, NLP, LangChain, Django/Flask/FastAPI | Mode: Online | Purpose: Assess technical proficiency

Round 3: Technical Interview — Details: Assess AI/ML, Python, and software development knowledge | Topics: Python, ML algorithms, NLP, LLMs, REST APIs, Docker, Kubernetes, AWS | Mode: Online / In-person | Purpose: Evaluate technical knowledge and problem-solving skills

Round 4: HR Interview — Details: Evaluate communication and cultural fit | Topics: Communication skills, Passion for AI, Teamwork | Mode: Online / In-person | Purpose: Final evaluation of soft skills

Important Notes & Benefits

• Work Mode: On-site (Expected to work all 5 days in a week in office).
• Competitive salary and benefits package.
• Opportunities for professional growth and development in a collaborative environment.
• Access to cutting-edge technologies and tools.
• Recognition and rewards for outstanding performance through BeBrilliant.
• HARMAN recruiters will always communicate from an '@harman.com' email address.