Product Manager - Growth

Job Description:

Experience: 7 -15 Years

Job Description :

Key responsibilities

As an GEN AI Expert [Min 4 + years of relevant exp on NLP, CV and LLMs], you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges. You will play a key role in creating intuitive and efficient model designs that enhance user experiences and business processes. The position demands strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging capabilities.

• Model & Agent Design: Conceptualize and design robust NLP solutions and LLM agents tailored to specific business needs, with a focus on user experience, interactivity,   latency, failover and functionality.
• Hands-on Coding: Write,test, and maintain clean, efficient, and scalable code for NLP models and AI agents, with a strong emphasis on Python programming.
• Build high quality multi-modal & multi-agents applications/frameworks
• Knowledge on input/output token utilization, prioritization and consumption w.r.t AI agents
• Performance Monitoring: Monitor, optimize LLM agents, implementing model explainability, handling model drift, and ensuring robustness.
• Research Implementation:Ability to read, comprehend, and implement AI Agent research papers into practical solutions. Stay abreast of the latest academic and industry   research to apply cutting-edge methodologies and techniques.
• Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to AI agents, including model inaccuracies, performance bottlenecks, and   system integration problems. Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors.
• Innovation and Research:Stay updated with the latest advancements in AI agents technologies,experimenting with new techniques and tools to enhance agent capabilities and performance.
• Continuous Learning: Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves. Maintain a proactive approach to staying current with emerging trends and technologies in Agent based solutions (Text & Multi Modal).
• Clear understanding of tool usage and structured outputs in agents
• Clear understanding of speculative decoding and AST-Code RAG
• Clear understanding of Streaming and Sync/Async processing
• Clear understanding of embedding models and their limitations

Tech stack required:

Programming languages: Python

Public Cloud: Azure

Frameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool.

Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production.

AccioJob is conducting a Walk-In Hiring Drive with a Sales Engagement Platform for the position of MERN Developer.

To apply, register and select your slot here: https://go.acciojob.com/8pEER6

Required Skills: JavaScript, React JS, Node JS, MongoDB, DSA, System Design

Eligibility:

• Degree: All
• Branch: All
• Graduation Year: 2019, 2020, 2021, 2022, 2023, 2024, 2025
• Only students with relevant experience will be considered.

Work Details:

• Work Location: Chennai (Onsite)
• CTC: ₹9 LPA to ₹16 LPA

Evaluation Process:

Round 1: Offline Assessment at Chennai - Jerusalem College of Engineering

Further Rounds (for shortlisted candidates only):

Profile & Background Screening Round, Assignment Round, Technical Interview Round 1, Technical Interview Round 2

Important Note: Bring your laptop & earphones for the test.

Register here: https://go.acciojob.com/8pEER6

Prefer mobile? Apply through the AccioJob App today 👇

https://go.acciojob.com/fUywks

• Strong understanding of ServiceNow platform architecture,applications and modules
• Experience with integrations between ServiceNow and other
  tools/systems
• Proficient in all phases of the Application Development
  lifecycle with experience in an agile environment
• Excellent verbal and written communication skills, with
  experience interacting with clients at multiple levels
• ServiceNow certifications are preferred
• Experience with Knowledge Base platforms, ideally
  ServiceNow Knowledge Management application is a plus

Roles and Responsibilities:

• Understand product requirements and be able to quickly turn around a functional prototype for internal review and further refinement.
• We are currently using MERN & Flutter technology for our product. You should be acquainted to this tech stack or should be able to grasp immediately.
• Develop API based architecture in order to ensure the business growth and integrational capabilities of product.
• Designing and developing REST APIs using MongoDB with its Security compositions
• Develop the Mobile UI / Back-end features using Flutter / Dart programming language.
• Creating and configuring EC2 instances and securing a connection with MongoDB Cloud database
• Should be adapt to version control systems like GIT / GITHUB

Job Description:

Looking for engineers with one of the below requirements:

• 2-5 years of embedded development experience in a Linux environment with C programming
• With Option1:
• EDK2 experience
• SCT experience
• knowledge of TPMs
• With Option2:
• worked on bootloaders or uboot

Job Description :

• Should have a very good understanding of IT requirements.
• Client communication
• Corporate communication
• Must be target oriented.

Role and Responsibilities

A Quantitative Strategist/Quantitative Trader profile at QuantX requires rigorous quantitative aptitude and go-get attitude.

• Deployment of quantitative models in Indian Equity and Derivatives markets to generate returns.
• Management of Quantitative Trading Programs.
• Data Analysis

Requirements

Education (Candidate should satisfy one of the following)

• B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades
• Tech with good grades and strong quantitative aptitude
• CFA/FRM Level 1 cleared
• Any other degree with Financial Derivatives as a subject and through knowledge of Derivative Greeks (Portfolio Level, Risk Management, Hedging)  

Skills

• Exceptional Quantitative Aptitude
• Psychological composure and Logical/Objective decision making
• Comfortable working on computer programs

Preferences

Following skill sets are not required but candidate will get preference if he/she possesses any of the following:

• Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)
• MATLAB/R for Time series analysis
• Knowledge of AFL ( Amibroker Formula Language)

Advantages

• Steep learning curve
• Extensive training on mathematics of derivatives market
• Dynamic work environment(Everyday is different in its own way)
• Very small team and merit based growth
• Best in class Quarterly bonuses and revenue share post training period(where bonus can surpass the base salary)

Pay Structure

• Extensive training period(probation period) of 2 months(Stipend Paid during training period INR 10,000)
• Pay Structure post the training period:

Junior Trader:

Base Salary I + 5% of Revenue share

       Senior Trader:

(Base Salary I + 27% hike) + 10% of Revenue Share

Working Hours

We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks

• Standard Market Hours
• Training Pre and Post market hours
• Our doors are open till the time you are working

Selection Process

• Quantitative Aptitude Test 
• Psychometric Test
• Personal Interview
• Super Day (Hands on work on high paced advance programs)