Director/Sr. Director - Product Marketing (Coherent DSP)

Position Summary: Senior Software Engineer (Full Stack) We are seeking a highly skilled Senior Software Engineer to execute our strategy  preferably experienced in Financial Services/Procurement domain, to build a modern SaaS platform using latest technologies like ReactJS, Angular, Django, Python with Postgres and AWS as the platform. Athena, Lambda, Python, Spark and PowerBI. As a Full Stack Engineer, you’ll be responsible for designing, developing, and maintaining key features of our cloud-based SaaS product. You’ll work across the stack — from building rich client-side applications in ReactJS to crafting performant and secure APIs in Django. You will also play a key role in architectural decisions, DevOps integration, and driving engineering best practices across the team.

Technical Skills: Must Have: Expert – ReactJS, Django, Python, Shell Script, AWS, S3, Lambda, Postgres Significant work Experience – Jenkins, Power BI

 Responsibilities:

• Design and develop end-to-end web applications using ReactJS (frontend) and Python/Django (backend)

• Build and maintain RESTful APIs and integrate third-party services

• Work with PostgreSQL to model data and write efficient queries

• Implement scalable, secure, and maintainable backend services on AWS

• Collaborate with product managers, designers, and fellow engineers to deliver new features

• Write unit, integration, and end-to-end tests to ensure code quality and reliability

• Conduct code reviews, debug issues, and optimize performance across the stack

• Contribute to DevOps workflows including CI/CD pipelines, containerization, and monitoring Internal Use Only Qualifications/Experience:

Must have - 5–7 years of full stack development experience, preferably in a SaaS or product-first environment

- Strong proficiency with JavaScript, ReactJS, and component-based architecture

- Hands-on experience with Python and the Django web framework

- Solid understanding of PostgreSQL (or similar relational databases)

- Practical knowledge of AWS services (EC2, S3, RDS, Lambda, etc.)

- Familiarity with Git, CI/CD pipelines, Docker, and Linux-based environments

- Clear communication skills and a collaborative mindset

Good to have

- Experience with performance tuning in Django or PostgreSQL - Exposure to Infrastructure-as-Code (e.g., Terraform, CloudFormation) Nice to have 

- Understanding of frontend testing tools (Jest, Cypress) and backend testing strategies - Knowledge of security best practices for SaaS apps

Location: Bangalore 

• Install, test, and ensure proper functionality of new products.

• Develop process improvements to optimize equipment and material use, maximizing production.

• Identify unsafe operations and report them to the Manager.

• Establish safety procedures and environmental regulations for employees.

• Provide engineering support for production and maintenance to ensure maximum production efficiency.

• Perform maintenance tasks and offer customer support.

• Diagnose product issues and implement solutions for repairs.

• Write service reports after diagnostics.

• Respond to service requests and repair products as needed.

• Travel for on-site service as required.

• Develop best practices to improve production capacity, quality, and reliability.

• Investigate problems, analyze root causes, and derive solutions.

• Completing tasks assigned by the reporting manager

Skills & Qualifications:

• Diploma/ITI in Mechanical Engineering, Fitter, Turner (mandatory)

• 1 year of experience or apprenticeship experience in a relevant field.

• south Indian language proficiency or at least good English communication skills for effective communication with South India-based clients.

• Ability to work flexible hours and travel as needed

• Proficiency in MS Office

• Strong skills in equipment installation, repair, testing, and troubleshooting

• Excellent analytical, problem-solving, and diagnostic skills

• Good written and verbal communication skills

• Ability to make decisions under pressure

• Capable of meeting the physical demands of the role

We’re searching for an experienced Data Scientist with a strong background in NLP and large language models to join our innovative team! If you thrive on solving complex language problems and are hands-on with spaCy, NER, RNN, LSTM, Transformers, and LLMs (like GPT), we want to connect.

What You’ll Do:

• Build & deploy advanced NLP solutions: entity recognition, text classification, and more.
• Fine-tune and train state-of-the-art deep learning models (RNN, LSTM, Transformer, GPT).
• Apply libraries like spaCy for NER and text processing.
• Collaborate across teams to integrate AI-driven features.
• Preprocess, annotate, and manage data workflows.
• Analyze model performance and drive continuous improvement.
• Stay current with AI/NLP breakthroughs and advocate innovation.

What You Bring:

• 4-5+ years of industry experience in data science/NLP.
• Strong proficiency in Python, spaCy, NLTK, PyTorch or TensorFlow.
• Hands-on with NER, custom pipelines, and prompt engineering.
• Deep understanding and experience with RNN, LSTM, Transformer, and LLMs/GPT.
• Collaborative and independent problem solver.

Nice to Have:

• Experience deploying NLP models (Docker, cloud).
• MLOps, vector databases, RAG, semantic search.
• Annotation tools and team management.

Why Join Us?

• Work with cutting-edge technology and real-world impact.
• Flexible hours, remote options, and a supportive, inclusive culture.
• Competitive compensation and benefits.

Ready to push the boundaries of AI with us? Apply now or DM for more info!

Hiring: Senior AI Engineer / AI Architect (Part-Time)

Location: 100% Remote (India)

Employment Type: Part-Time (4 Hours Daily)

About the Role

We are looking for an experienced Senior AI Engineer / AI Architect to design, develop, and deploy enterprise-grade AI solutions. This role is ideal for a highly skilled professional with deep expertise in Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native AI architectures.

You will lead the design and implementation of intelligent AI systems that automate business processes, enhance decision-making, and seamlessly integrate with enterprise applications across AWS and Azure environments.

Key Responsibilities

Generative AI & Agentic AI

• Design and build enterprise GenAI and Agentic AI applications using modern LLM frameworks.
• Develop multi-agent AI systems using LangChain and LangGraph.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.
• Create prompt engineering strategies, context management frameworks, and AI orchestration workflows.
• Integrate leading LLM platforms including OpenAI, Azure OpenAI, Anthropic Claude, AWS Bedrock, and other AI APIs.

AI/ML Engineering

• Design, develop, and deploy machine learning models for NLP, classification, prediction, and recommendation systems.
• Implement LLMOps/MLOps practices for model evaluation, monitoring, and lifecycle management.
• Fine-tune and optimize AI models for enterprise-scale use cases.
• Establish AI governance, security guardrails, and responsible AI frameworks.

Cloud & Data Engineering

• Architect scalable AI solutions on AWS and Azure.
• Build robust data pipelines using Databricks, Kafka, Glue, Synapse, Data Lake, and ETL/ELT technologies.
• Develop event-driven architectures using Kafka, EventBridge, Service Bus, SNS, and SQS.
• Design and manage vector database solutions such as Pinecone, Azure AI Search, Weaviate, or similar platforms.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of software engineering experience.
• 5+ years of AI/ML engineering experience.
• Strong programming expertise in Python and FastAPI.
• Hands-on experience building Generative AI, Agentic AI, and LLM-based applications.
• Strong experience with LangChain, LangGraph, RAG, embeddings, and vector databases.
• Solid knowledge of AWS and Azure cloud platforms.
• Experience designing scalable and secure enterprise AI architectures.

Preferred Qualifications

• Experience in Healthcare, Financial Services, or Insurance domains.
• Hands-on experience with Databricks, MLflow, and MLOps platforms.
• Experience with Azure AI Foundry, Azure OpenAI, and AWS Bedrock.
• Knowledge of HIPAA, SOC2, and enterprise security frameworks.
• AWS and/or Azure certifications are a plus.

Technical Skills

Python | FastAPI | LangChain | LangGraph | RAG | LLMOps | OpenAI | Azure OpenAI | AWS Bedrock | Pinecone | Azure AI Search | Databricks | MLflow | Kafka | Docker | Kubernetes | AWS | Azure

What We're Looking For

• Strong problem-solving and architectural design skills.
• Experience delivering enterprise AI solutions from concept to production.
• Ability to work independently in a remote, collaborative environment.
• Passion for building next-generation AI systems and automation platforms.

Looking forward to work with you.

Know someone who might be a great fit? Feel free to tag them or share this opportunity within your network!

Best regards,

Akash Sahu

Talent Partner @ eQuestever

 Akash (Allen) Sahu

🌐 www.equestever.com

 201 E Center St Suite 112, Anaheim CA 92805, USA

• Execute marketing plans (campaigns, live events such as webinars, 

seminars, networking events etc.) to help generate leads for the sales 

team 

• Build, scale, and optimize digital marketing channels including but not 

limited to SEO, SEM, Facebook, LinkedIn and more. 

• Experience in managing KPIs pertaining to (i)User Acquisition Volume 

(month on month growth) (ii)Customer Acquisition Cost (CAC) (iii)Channel Growth and Mix (iv)Traffic Conversion Rates (iv)Number of experiments 

executed on (velocity, quality, results) 

• Translate the marketing strategy into funnel-focused marketing programs 

to acquire, engage and retain customers 

• Test, analyze, and scale experiments to improve key metrics across 

channels (e.g., landing pages, ad copy, creative, etc.). 

• Design and execute complex, end-to-end marketing campaigns that 

deliver results measured in MQLs and SQLS 

• Create content and materials the showcase the value 100ms creates for 

customers 

• Develop a strategy that combines both technical and content elements, to 

drive ongoing improvements in SEO and organic search results. 

• Develop collaborative partnerships across the organization to identify, 

launch and refine demand generation strategies. 

• Measure, track, and optimize engagement from the top of the funnel 

throughout the customer journey to ensure marketing is accelerating sales efforts to close business. 

You have: 

• A growth-oriented marketer with 2 to 4 years of experience managing and 

executing marketing campaigns including creatives, email marketing, 

tracking, reporting, stakeholders coordination and performance review 

• Well versed with the latest digital techniques and tools and latest digital 

marketing trends 

• Experience in executing marketing campaigns including creatives, email 

marketing, tracking, reporting and stakeholder coordination 

• Experience in working with B2B Saas organizations in a growth-oriented 

marketing role would be highly preferred 

You'll be a great fit if you have: 

• Experience developing digital multi-channel campaigns 
• Solid understanding of LinkedIn, Facebook, Google ad platforms

• Experience using Google Analytics, Google Optimize or similar 

  • Comfortable using Google Sheets or similar for reporting, analytics 
  • Understands the campaign data growth metrics

We are seeking a highly skilled and motivated Data Scientist to join our team. You will be responsible for extracting insights from complex data sets, developing predictive models, and communicating findings to drive data-informed decision-making within the organization. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, as well as excellent problem-solving and communication skills.

Responsibilities:

• Data Collection and Cleaning: Gather, clean, and preprocess data from various sources, ensuring data quality and integrity.
• Exploratory Data Analysis (EDA): Conduct EDA to understand data distributions, identify patterns, and uncover insights.
• Feature Engineering: Select, transform, and create relevant features to improve model performance.
• Model Development: Develop and implement machine learning models for prediction, classification, and other analytical tasks.
• Model Evaluation and Selection: Evaluate model performance using appropriate metrics and select the best model based on business requirements.
• Model Deployment and Monitoring: Deploy models into production and monitor their performance over time.

About Monarch: 

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies. 

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, till, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. 

Job Description  

DevOps: 

• Implementing various development, testing and automation tools 
• Setting up tools and required infrastructure 
• Configuration and managing databases such as MySQL 
• Defining and setting development, test, release, update, and support processes for DevOps operation 
• Identify sources of manual work related to new features from inception to CI/CD pipeline and automate as much as possible. 
• Monitoring the processes during the entire lifecycle for its adherence as well as updating or creating new processes for improvement and minimizing the wastage 

Security: 

• Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management 
• Incidence management and root cause analysis 
• Disaster Recovery  

General: 

• Coordination and communication within the team and with customers 

• Thrive in a fast-paced environment and have the ability to own the project end to end with minimum hand holding.   

Required: 

• Bachelor’s degree / Masters in Engineering (ECE or CSE preferred)   
• A minimum work experience of 5 years in the relevant field on Linux based infrastructure 
• Work Experience with AWS: (EC2, RDS, ELB, EBD, S3, VPC, Glacier, IAM, CloudWatch, KMS and Cognito) 
• Security suit implementation experience 
• Bash and Python scripting 
• Work experience in setting up VPN and VNC accounts 
• CI/CD tools: Jenkins, GitLab CI/CD, and Spinnaker 
• Automation Tools: Ansible, Docker, Kubernetes 
• Version Control: Git / GitHub 
• Knowledge of AWS IoT Core is a plus  

What you will get: 

At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health, dental and vision benefits, and company equity commensurate with the role you’ll play in our success.  

An experienced  Social Media Marketing Manager who can  develop, implement, track and optimize our digital marketing campaigns across all digital channels.

Responsibilities

1. Design product and brand posts with the help of creative team
2. Collaborates with the team on upcoming campaigns determining best platforms, target audience, and creative strategies to implement.
3. Monitor ads during the campaign period, weekly digital reporting, end of campaign reporting.
4. Manage Influencer campaigns according to create both brand and product awareness. From reaching out to influencers to ensuring content creation and completion of collaboration.
5. Responsible for daily posting on various social platforms and staying responsive to audience through comments and messages.
6. Planning weekly/monthly social calendars according to the products and campaigns.
7. Guiding design team for the visuals with references as per the need.

An Ideal Ambrane Ally

She/he should have strong grasp of social media dashboards and other marketing tools to be able to lead and own digital marketing campaigns. She/he will be working closely with the design, product and ecommerce team to conceptualize campaigns in order to get expected results.

1. 3-4 years of experience in social media management
2. Core Knowledge of running ads on social platforms (Instagram, facebook, Linked in, Youtube)
3. Able allocate monthly budgets in Lakhs throughout platforms according to the requirement.
4. Have proven experience in influencer marketing through direct reach and agency
5. Strong communication skills and a supportive team player
6. Staying up to date with current design and social trends would be a plus