Junior Design Engineer

About the Role:

We are looking for a dynamic HR Operations & Employee Experience Executive to ensure seamless HR processes, from onboarding to exit. If you have a passion for employee engagement, automation, and efficiency, this role is for you.

Key Responsibilities:

• Onboarding & Induction – Conduct engaging induction sessions and ensure a smooth transition for new hires.
• Attendance & HR Reporting – Manage attendance, resolve discrepancies, and generate HR reports for leadership insights.
• HR Systems & Chatbot Optimization – Enhance chatbot interactions, ensure response accuracy, and improve employee self-service.
• Performance Management (PMS) Administration – Drive goal-setting, performance reviews, and ensure PMS adoption across teams.
• HR Operations & Compliance – Maintain employee records, assist in policy implementation, and ensure compliance with HR guidelines.
• Employee Engagement & Support – Address HR queries, support engagement initiatives, and enhance employee experience.
• Exit Management – Handle exit formalities, conduct exit interviews, and ensure a smooth offboarding process.

What We’re Looking For:

• 1-3 years of experience in HR Operations or Employee Experience.
• Proficiency in HR tools (Zoho People preferred).
• Strong analytical and reporting skills.
• Excellent communication and stakeholder management abilities.
• Passion for HR tech and automation.

Why Join Us?

• Work in a fast-paced, tech-driven HR environment.
• Opportunity to drive process improvements and innovation.
• Be part of an HR team that values efficiency, automation, and employee experience.

Job Description: Machine Learning Engineer – LLM and Agentic AI

Location: Ahmedabad

Experience: 4+ years

Employment Type: Full-Time

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About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, machine learning, and pushing the boundaries of Agentic AI, we’d love to have you on board.

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Key Responsibilities

• Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems.

• Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance.

• Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms.

• Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation.

• Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production.

• Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI.

• Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering.

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Requirements

Core Technical Skills:

• Proficiency in Python for machine learning and data science tasks.

• Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar.

• Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques.

• Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering.

• Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs.

• Strong skills in data manipulation using tools like Pandas, NumPy, and SQL.

• Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions.

Additional Skills (Good to Have):

• Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation.

• Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability.

• Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques.

• Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs.

• Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval.

• Version control (Git) and familiarity with collaborative development practices.

General Skills:

• Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability.

• Solid understanding of algorithms and data structures to solve complex ML problems.

• Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful).

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Soft Skills:

• Excellent problem-solving and critical-thinking abilities.

• Strong communication and collaboration skills to work with cross-functional teams.

• Self-motivated, with a continuous learning mindset to keep up with emerging technologies.

We are looking for enthusiastic passionate candidates in the role of HR Recruiter.

Position : HR Recruiter(must be from a consultancy)

Experience : 1 year to 2 year

Job Description :

We are looking to employ an HR recruiter with the ability to develop recruitment strategies to meet the objectives of the organization. . They should confer with management to assess, and identify staffing needs. The HR recruiter will execute recruitment plans and source the most suitable candidates to fill positions.

Responsibility :

• Filling positions within an organization.
• Designing and implementing recruiting systems for the organization.
• Developing own network of suitable candidates.
• Handling of administration and record-keeping.
• Executing recruitment plans efficiently.
• Drafting and posting job descriptions.
• Interviewing candidates.

Skills :

• Bachelor's degree is a must
• Must have proven experience in HR in a consultancy
• Excellent communication skills.
• Excellent record keeping.

Do you have what it takes to hire thousands of people every month? Here is an opportunity to boost your career by joining our client.

What you need to have:

• 5 – 8 years of relevant work experience in end-to-end talent acquisition
• Graduation is a must. MBA HR from a B-school is preferred    
• Talent Acquisition experience from a startup background is highly desirable
• Proven experience and also willingness to work with hiring targets
• Excellent communication and negotiation skills
• Experience of leading a team of talent acquisition specialists
• Ability to multi-task and also proven experience of maintaining high confidentiality data